Build resource environment switching for published apps
BetayesterdayUnverifiedAdded Oct 15, 2026
Live on cloud • Team • Business • Enterprise Public beta Organizations on paid plans can prompt the app building agent to use resource environments in published apps.
More Retool releases
Every Retool releaseNew AI models available in Retool
Live on cloud Retool now supports the following new AI models: GPT 6.1 Sol through OpenAI for AI resource queries and building apps . Claude Sonnet 5.5 through Anthropic and Amazon Bedrock for AI resource queries and building apps .
Retool-provided AI models on the Business plan
Live on cloud Organizations on the Business plan now have access to Retool-provided AI models for app building. These models, prefixed with Retool , have been tuned by Retool for enhanced performance and speed for app building. The following Retool-provided models are supported: Retool Mini Retool Power
Self-hosted Retool 4.34 and 4.0 stable updates
The following patches are now available on the Stable release channel: Retool 4.34.8 Retool 4.0.21 Update your Retool instance to apply the latest bug fixes and security patches.
Self-hosted Retool 4.34 stable updates
The following patches are now available on the Stable release channel: Retool 4.34.7 Update your Retool instance to apply the latest bug fixes and security patches.
Retool 4.70 Edge for self-hosted instances
Retool 4.70 is now available on the Edge release channel for self-hosted organizations.
Custom authentication for embedded apps
Live on cloud • Business • Enterprise Business and Enterprise organizations can now use the Retool API to authenticate apps that are embedded in an app or website external to Retool. Once configured, the custom authentication flow exchanges an API token for an embed URL.
New OpenAI models available in Retool
Live on cloud Retool now supports the following new AI models for AI resource queries : GPT 6 Luna . GPT 6 Sol . Enterprise only: GPT Image 2.5 Flare . Must bring your own key. Enterprise only: GPT Image 2.5 Sunburst . Must bring your own key.
Create PostgreSQL and REST API resources with natural language
Live on cloud • All plans Public beta You can now prompt the app building agent to create REST API or PostgreSQL resources directly from the app builder. Describe the resource that you want to create, and the agent initiates the resource creation process. You'll be asked to provide credentials or more details where applicable.
Also shipped on Oct 14, 2026
Retool in October 2026Workspace-level package repositories for Databricks Apps are generally available
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).